| More agents is all you need J Li, Q Zhang, Y Yu, Q Fu, D Ye Transactions on Machine Learning Research, 2024 | 68 | 2024 |
| Juewu-mc: Playing minecraft with sample-efficient hierarchical reinforcement learning Z Lin, J Li, J Shi, D Ye, Q Fu, W Yang Proceedings of the Thirty-First International Joint Conference on Artificial …, 2021 | 39 | 2021 |
| Minerl diamond 2021 competition: Overview, results, and lessons learned A Kanervisto, S Milani, K Ramanauskas, N Topin, Z Lin, J Li, J Shi, D Ye, ... NeurIPS 2021 Competitions and Demonstrations Track, 13-28, 2022 | 28 | 2022 |
| Pretraining in deep reinforcement learning: A survey Z Xie, Z Lin, J Li, S Li, D Ye arXiv preprint arXiv:2211.03959, 2022 | 21 | 2022 |
| Revisiting discrete soft actor-critic H Zhou, Z Lin, J Li, Q Fu, W Yang, D Ye Transactions on Machine Learning Research, 2022 | 16 | 2022 |
| Entity summarization with user feedback Q Liu, Y Chen, G Cheng, E Kharlamov, J Li, Y Qu The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete …, 2020 | 15 | 2020 |
| Neural entity summarization with joint encoding and weak supervision J Li, G Cheng, Q Liu, W Zhang, E Kharlamov, K Gunaratna, H Chen Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 12 | 2021 |
| Affordable Generative Agents Y Yu, Q Zhang, J Li, Q Fu, D Ye Transactions on Machine Learning Research, 2024 | 3 | 2024 |
| Playable Game Generation M Yang, J Li, Z Fang, S Chen, Y Yu, Q Fu, W Yang, D Ye arXiv preprint arXiv:2412.00887, 2024 | 1 | 2024 |
| Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models F Zhang, J Li, YC Li, Z Zhang, Y Yu, D Ye arXiv preprint arXiv:2407.03964, 2024 | | 2024 |
| NeurIPS 2021 Competition and Demonstration Track Revised Selected Papers D Kiela, M Ciccone, B Caputo, A Kanervisto, S Milani, K Ramanauskas, ... NeurIPS 2021 Competitions and Demonstrations Track, i-ii, 2022 | | 2022 |
Deheng YeDirector of AI Applications, Tencent在 e.ntu.edu.sg 的电子邮件经过验证